Risk Management

Key information

Duration: 5 days (on-campus, full-time)
Programme dates:
12 -
Imperial College Business School, Exhibition Road, London, SW7 2AZ, UK
Fees: £5,950

Course Overview

There has never been a time of greater uncertainty, change, and volatility.

The Imperial Risk Management programme is expertly designed to help you spot potential financial, corporate, societal, and environmental risks facing your organisation. And to build the practical tools and frameworks to measure and hedge those risks, to bolster your future performance in these unpredictable times.

Part of the Imperial Finance & Strategy Programme portfolio, this immersive 5 day course integrates live interactive sessions with Imperial College Business School professors and peers from a broad diversity of backgrounds and geographies. Your learning is enriched by insights from faculty, industry leaders and real-world case studies that help translate concept into practice.

Imperial’s Risk Management programme challenges you to think critically and creatively about risk. You emerge from the programme with the understanding and the refreshed capabilities to:

  • Assess risk management practices and frameworks and apply them to real-world industry contexts
  • Critically evaluate risk management research and reports
  • Analyse innovation in risk management practices arising from paradigm shifts in insurance, asset management and global banking
  • Explore the role of corporate governance and its link to risk

Who should attend?

The Imperial Risk Management programme blends the latest quantitative research and the practice of intelligent risk management strategies to expand your understanding and managerial capabilities. The programme convenes a breadth of executives from diverse geographies, industries, sectors and functions, including:

  • Finance managers looking to hone understanding of risk regulation and practice
  • Risk/portfolio managers who want to distribute capital across multiple investments
  • Consultants looking for a broader understanding of risk management techniques and tools

Learning objectives

  • Explore recent trends in the practice of risk management in both corporate and financial sectors.
  • Appreciate the need to overcome individual behavioural and organisational biases to put optimal risk management into practice.
  • Create a level playing field in terms of the statistical knowledge and tools that are critical to effective risk management.
  • Master the basic rules of probability and measures of tail risk, and learn to apply linear regression models.
  • Discover the importance of reputation and brand risk management in the corporate sector using real-world cases. Manage and control risks related to brand and reputation, and examine the role of effective communication.
  • Interact with an industry expert and discover how to view risk management decisions, projects or investments as a portfolio of risks.
  • Determine risks that can and cannot be diversified, and discover how to risk-adjust performance measures.
  • Explore futures, forwards, swaps and options to hedge equity, interest rate, commodity and currency risk.
  • Master asset liability management (ALM) for banks, asset managers and corporates, as well as how to use derivatives in ALM.
  • Learn how to build a risk department from scratch from the Chief Risk Officer of a $20 billion asset management firm.
  • Learn about risk measures such as expected short-fall and Value at Risk (VaR) and how to apply them.
  • Understand nonparametric and Monte Carlo VaR models, and how to apply scenario analysis and stress testing.
  • Discover how to manage risk in complex and derivative portfolios, and the strategies and techniques to manage exotic risks such as climate change risks.
  • Engage with an experienced insurance executive around the principles of risk management in insurance markets.
  • Find out how to measure and manage credit risk; and discover what credit default swaps are and how to use them.
  • Learn how to manage counter-party risk and how to calculate CVA, DVA, KVA and XVA.
  • Appreciate how better risk understanding can accelerate financial judgement and foresight.
  • Come away with an appreciation of how all of this can be practiced within risk management.


What you will learn


  • Welcome
  • Recent trends in risk management and the importance of addressing individual and organizational biases
  • Foundations of Risk Measurement
  • Risk and Reputation: In the COVID-19 era and beyond 

Day 2

  • Foundations of Risk Finance Theory
  • Financial Markets and Instruments

Day 3

  • Financial Markets and Instruments (continued)
  • Insights from the Chief Risk Officer of an Asset Management Company
  • Market Risk Management

Day 4

  • Market Risk Management (continued)
  • Risk Management of Complex Portfolios

Day 5

  • Risk Management and Insurance Markets
  • Credit Risk Management
  • Counter-Party and Funding Risk
  • Enterprise Risk Management, Operational Risk and Challenges of Applying Risk Management in Practice

Programme faculty

Robert Kosowski

Robert Kosowski

Programme Director, Professor of Finance and Head of the Finance Department at Imperial College Business School

Professor Kosowski is a research fellow at the CEPR and an associate of the Oxford Man Institute. Previously he was Head of Quantitative Research at a £20 billion asset management firm and specialist adviser to the UK House of Lords.

Professor Kososwki’s research has been published in the Financial Times and Wall Street Journal.

Enrico Biffis

Enrico Biffis

Associate Professor of Actuarial Finance at Imperial College Business School

Enrico Biffis is Associate Director for Development Finance at the Brevan Howard Centre for Financial Analysis. He has collaborated extensively with industry and been the recipient of grants and awards for his research on the modelling and hedging of large risks.

Enrico Biffis has expertise in risk analysis, asset-liability management, and the design of predictive analytics and risk management tools for a variety of asset classes.

Professor Paolo Zaffaroni

Paolo Zaffaroni

Professor in Financial Econometrics at Imperial College Business School

Paolo Zaffaroni holds a summa cum laude degree in economic statistics from Roma and holds a Ph.D. in Econometrics from the London School of Economics. He also teaches at the University of Rome La Sapienza and has previously taught at the London School of Economics and at the University of Cambridge.

His main research interests are empirical asset pricing, portfolio choice, financial econometrics, and econometric theory.

Didier Michoud

Didier Michoud

Chief Risk Officer of the Unigestion Group

Didier Michoud began his career with Lloyds TSB Bank in Switzerland. He has served as Risk Manager and Deputy to the Chief Risk Officer for Banque Cantonale de Geneve, Senior Manager of Economic Capital with the Banque Laurentienne du Canada, and Senior Quantitative Analyst for EIM, S.A. where he went on to become Head of Risk Management.

Jose Ribeiro

Jose Ribeiro

Independent Non-executive Director, Starr Companies and the Hansard Group

José Ribeiro has more than 30 years’ global experience in financial service. He is currently the Chairman at Starr Insurance Companies (a global insurer) and Chairman at Skyline Partners (a parametric insurance venture). In addition, also a non-executive director at Hansard Global (a global life and pensions insurer listed on the London stock exchange).

Damiano Brigo

Damiano Brigo

Professor Damiano Brigo holds the Chair in Mathematical Finance at Imperial College, London, where he co-heads the Mathematical Finance research group and is part of the Stochastic Analysis research group. His current interests include valuation and pricing, risk measurement, liquidity risk, credit and default modeling, counterparty risk, nonlinear valuation under funding costs via semi-linear PDEs and FBSDEs, optimal execution and algorithmic trading, stochastic dynamical models for commodities and inflation, the differential geometric approach to statistics, exponential statistical manifolds and stochastic processes, stochastic differential equations on manifolds, geometry of SDEs, nonlinear stochastic filtering, and stochastic processes consistent with mixtures of distributions.  

Become an Associate Alumni

Take your partnership with Imperial College Business School to the next level by becoming an Associate Alumni. Complete more than eight days of our programmes to claim 'Associate Alumni' status and join our active alumni community.

Key information

Duration: 5 days (on-campus, full-time)
Programme dates:
12 -
Imperial College Business School, Exhibition Road, London, SW7 2AZ, UK
Fees: £5,950

Contact us

Get in touch

Asmik Magakian

Asmik Magakian

Business Development Executive